A B.Tech in Bioinformatics is an interdisciplinary program that combines biology, computer science, and mathematics to analyze and interpret biological data. This field plays a crucial role in areas such as genomics, proteomics, drug discovery, and personalized medicine by using computational techniques to study biological systems. The curriculum covers subjects like molecular biology, genetics, data structures, machine learning, bioinformatics algorithms, and biostatistics, along with programming languages like Python, R, and Perl. Graduates can pursue careers in biotechnology companies, pharmaceutical industries, healthcare, research institutes, and IT firms specializing in bioinformatics software development.
They can work as bioinformaticians, computational biologists, data analysts, or research scientists. Additionally, opportunities exist in AI-driven drug discovery, genetic engineering, and agricultural biotechnology. With advancements in genomic sequencing, AI in healthcare, and precision medicine, the demand for bioinformatics professionals is growing, making this a promising career path for those interested in the intersection of biology and technology. With expertise in programming (Python, R, Perl), machine learning, and big data analytics, they can explore careers in AI-driven drug discovery, personalized medicine, and genomic data analysis. Higher studies like M.Tech, M.Sc, or Ph.D. in Bioinformatics, Computational Biology, or Systems Biology can lead to research and academic careers.
Duration - 4 Years
Eligibility Criteria
10+2 (PCM/PCB)
Annual Fee - 1,29,500/-
Semester Fee - 64,750/-
Career Scope After B.Tech (Bio-informatics)
A B.Tech in Bioinformatics offers diverse career opportunities at the intersection of biology, computer science, and data analytics. Graduates can work in biotechnology, pharmaceuticals, healthcare, and research institutions, leveraging computational techniques to analyze biological data. They can pursue roles such as Bioinformatics Scientist, Computational Biologist, Data Analyst (Genomics), Biostatistician, or Biomedical Software Developer in organizations like biotech firms, pharmaceutical companies, hospitals, and government research labs (ICMR, CSIR, DBT, etc.).
Opportunities exist in clinical research, agricultural bioinformatics, forensic science, and healthcare IT. Companies like IBM, Illumina, Thermo Fisher, and Novartis hire bioinformatics professionals for roles in biotech software development, algorithm design, and biomedical data interpretation. The key to success in this field lies in strengthening computational skills, gaining experience with biological databases, and staying updated with advancements in genomics, AI, and molecular biology.